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루닛, 720억원 규모 프리IPO… 코스닥 상장 작업 속도
루닛, AI 유방암 검출 솔루션 '루닛 인사이트 MMG' 美 FDA 허가 "국내 최초"
루닛, AI 응급질환 자동분류 솔루션 '루닛 인사이트 CXR 트리아지' 美 FDA 허가
면역항암제 반응 예측을 통해 맞춤형 치료 가능… 루닛, 미국 면역항암학회(SITC 2021)에서 AI 바이오마커 연구 결과 발표
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External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms
Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study
Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction
SRM: A Style-based Recalibration Module for Convolutional Neural Networks
Learning Visual Context by Comparison
Reducing Domain Gap by Reducing Style Bias
Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients
COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system
AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset
Application of artificial intelligence–based computer-assisted diagnosis on synthetic mammograms from breast tomosynthesis: comparison with digital mammograms
Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort
Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning–based Detection Algorithm
Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
Performance of a Deep-learning Algorithm Compared to Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population
Deep-learning Based Automated Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs: Diagnostic Performance in Systematic Screening of Asymptomatic Individuals
Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration
Deep Learning–based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs
Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses
Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness
Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19
Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
Test-retest reproducibility of a deep learning–based automatic detection algorithm for the chest radiograph
Deep Learning for Chest Radiograph Diagnosis in the Emergency Department
Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs
Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs
Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study